2689 Code courses in London delivered Online

Create 3 useful desktop applications with web technologies using Electron

This course will allow you to explore the potential of self-service business intelligence using Power BI Desktop to analyse and connect to different sources of data, creating Relationships between those different datasets, Query the data using Shaping and data Modelling, to create Visualizations, and publish Reports to different platforms . Course Objectives At the end of this course you will be able to: Connect to data from different sources. Use the Query Editor Perform Power BI desktop data Shaping and Transformation. Create Power BI desktop Modelling. Create Power BI desktop Visualizations and Reports. ' 1 year email support service Take a closer look at the consistent excellent feedback from our growing corporate clients visiting our site ms-officetraining co uk With more than 20 years experience, we deliver courses on all levels of the Desktop version of Microsoft Office and Office 365; ranging from Beginner, Intermediate, Advanced to the VBA level and Business Intelligence. Our trainers are Microsoft certified professionals with a proven track record with several years experience in delivering public, one to one, tailored and bespoke courses. Our competitive rates start from £550.00 per day of training Tailored training courses: You can choose to run the course exactly as they are outlined by us or we can customise it so that it meets your specific needs. A tailored or bespoke course will follow the standard outline but may be adapted to your specific organisational needs. Please visit our site (ms-officetraining co uk) to get a feel of the excellent feedback our courses have had and look at other courses you might be interested in. Introduction to Power BI Power BI Jargon explained A quick look at Power BI Desktop A quick look at the Power BI service Helpful resources Power BI and Excel Introduction to using Excel data in Power BI Upload Excel data to Power BI Import Power View and Power Pivot to Power BI Getting started with Power BI Desktop Overview of Power BI Desktop Accessing Help and Helpful resources Connect to data sources in Power BI Desktop Shaping and Transforming Data with Query Editor Introduction to the Query Editor Data Sources Power BI Desktop can Connect to Introduction to Steps and M code Combining Data Using Merge and Append Queries Data Type Properties Working with Delimiters Clean and transform your data with the Query Editor Text Specific Transformation Tools Number Specific Transformation Tools Date Specific Transformation Tools Split and Merge columns Creating an Index Column Adding Conditional Columns Columns From Examples Grouping and Aggregating data Pivoting and Unpivoting Using filters Modeling the data Introduction to modeling your data How to manage your data relationships Create calculated columns Optimizing data models Create calculated measures Show Values As and Quick Measures Create calculated tables Explore your time-based data Introduction to DAX DAX calculation types DAX functions Visualizations Introduction to visuals in Power BI Create and customize simple visualizations Modify colors in charts and visuals Shapes, text boxes, and images Page layout and formatting Group interactions among visualizations Visual hierarchies and drill-down Using custom visualizations Create a KPI Visualization Geo-Data and Maps Reports, Publishing and Sharing Introduction to the Power BI service Quick insights in Power BI Create and configure a dashboard Ask questions of your data with natural language Create custom Q&A suggestions Share dashboards with your organization Introduction to content packs, security, and groups Publish Power BI Desktop reports Print and export dashboards and reports Create groups in Power BI Use content packs Update content packs Publish to web Who is this course for? Who is this course for? This course facilitates you with knowledge on the potential for Power BI Desktop to analyse and connect to different sources of data, creating Relationships between those different datasets, Query the data using Shaping and data Modelling, and to create Visualizations, and publish Reports to different platforms. Requirements Requirements Before attending this course, delegates should have: - A general knowledge of database concepts (fields, records and relationships) - Familiarity with Excel. Career path Career path Business Intelligence Data Analysis ETL & Data Warehousing

Unlock your creative prowess in the exhilarating realm of game development through this course. This step-by-step guide empowers you to grasp the nuances of crafting captivating 2D games using Python and the robust Pygame library. Understanding of concepts such as control flow, data structures, and object-oriented programming would be beneficial.

Build your first full stack application with React and Spring Boot. Become a full-stack web developer now!

Learn all the CSS Grid concepts and create professional responsive website designs - multiple website layout projects.

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Unleash your data superpowers! Join our SQL Bootcamp: Database, Python & Javascript Training and go from zero to hero in record time. Did you know that SQL Training course are now among the top skills in demand worldwide? With the help of our SQL training course, you will learn how to write the same language as thousands of database experts. Enrol in this SQL course to learn how to handle huge datasets and evaluate actual data. This SQL training course is designed for students who want to become more proficient with SQL queries. You will learn about subjects including SQL fundamentals, environment setup, SQL analysis, building databases and tables, statements, and more with this package. What Courses You'll Get? Course 01: The Complete SQL from Scratch: Bootcamp Course 02: Python from Scratch Course 03: Javascript Programming for Beginners Learning Outcomes of SQL Training course Get introduced to the basics of SQL and environment setup. Learn how to create a database and table. Explore the statement basics and how to group them. Discover the most demanding programming language, Python, from scratch. Understand the fundamentals of Javascript. Key Highlights of the SQL Course: Lifetime Access to All SQL Learning Resources An Interactive, Online SQL Course Created By Experts in the SQL Field Self-Paced SQL courseand 24/7 Learning Support Free Certificate After SQL Course Completion SQL Bootcamp: Python, JavaScript, and Database Training Curriculum Breakdown: Course 01: The Complete SQL from Scratch: Bootcamp SQL Introduction Environment Setup Creating Database and Tables Statement Basics GROUP BY Statements JOINS Advanced Commands Databases and Tables Course 02: Python from Scratch Python Introduction Python Curriculum Overview Python Whats New Command line basics in python python installation Pycham-ce ide installation Setting up environment Running python code and more... Course 03: Javascript Programming for Beginners Introduction Project Files What is JavaScript? Running JS Code Variables Arithmetic Operators Conditional Statement and more... CPD 15 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This SQL course helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in SQL. It is also great for professionals who are already working in SQL and want to get promoted at work. Career path Query Language Developer Server Database Manager SQL Database Administrator Python Developer Technical Consultant Project Implementation Manager Software Developer (SQL) Certificates 3 CDP Accerdited HARDCOPY Certificate Hard copy certificate - Included 3 CDP Accerdited HARDCOPY Certificate for Free. Delivery Charge: Inside the UK: £3.99 Outside UK: £9.99 3 CDP Accerdited PDF Certificate Digital certificate - Included 3 CDP Accerdited PDF Certificate for Free

Special Needs: Level 1 Award for SEN Coordinators in Early Years Settings Embark on a rewarding journey in Special Needs education with our Level 1 Award for SEN Coordinators in Early Years Settings. Gain essential knowledge to support and enhance the learning journey for children with Special Needs. Learning Outcomes: Understand the principles of Special Needs Education (SEND). Develop strategies for safeguarding children with special needs. Assess and support students with special needs effectively. Adapt teaching methods to accommodate diverse special needs. Implement personalized learning plans for special needs students. Promote inclusion and diversity in educational settings. Analyse legislative frameworks related to special needs education. Evaluate the impact of inclusive practices on students with special needs. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Key Modules from Special Needs: Level 1 Award for SEN Coordinators in Early Years Settings: Understanding SEND: Gain a foundational understanding of Special Needs and the diverse educational requirements in early years settings. The SEND Code of Practice - 0 to 25 Years: Master the principles and applications of the SEND Code of Practice to support Special Needs from early childhood to young adulthood. Inclusive Practice in Early Years: Implement inclusive strategies in early years education to create an engaging learning environment for children with Special Needs. Safeguarding Children with SEND: Learn critical safeguarding policies and practices to protect and promote the welfare of children with Special Needs.

Reboot Your Brain for Success & Peak Performance is a Neuroencoding Method that delivers long lasting results. The complete program walks participants through the five elements it takes to clear out their brain, boost up their mindset, and update their mental faculties. This workshop is perfect for anyone who wants to reset to their magnificent default.

Duration 5 Days 30 CPD hours This course is intended for This course is designed for students who want to learn the R programming language, particularly students who want to leverage R for data analysis and data science tasks in their organization. The course is also designed for students with an interest in applying statistics to real-world problems. A typical student in this course should have several years of experience with computing technology, along with a proficiency in at least one other programming language. Overview In this course, you will use R to perform common data science tasks.You will: Set up an R development environment and execute simple code. Perform operations on atomic data types in R, including characters, numbers, and logicals. Perform operations on data structures in R, including vectors, lists, and data frames. Write conditional statements and loops. Structure code for reuse with functions and packages. Manage data by loading and saving datasets, manipulating data frames, and more. Analyze data through exploratory analysis, statistical analysis, and more. Create and format data visualizations using base R and ggplot2. Create simple statistical models from data. In our data-driven world, organizations need the right tools to extract valuable insights from that data. The R programming language is one of the tools at the forefront of data science. Its robust set of packages and statistical functions makes it a powerful choice for analyzing data, manipulating data, performing statistical tests on data, and creating predictive models from data. Likewise, R is notable for its strong data visualization tools, enabling you to create high-quality graphs and plots that are incredibly customizable. This course will teach you the fundamentals of programming in R to get you started. It will also teach you how to use R to perform common data science tasks and achieve data-driven results for the business. Lesson 1: Setting Up R and Executing Simple Code Topic A: Set Up the R Development Environment Topic B: Write R Statements Lesson 2: Processing Atomic Data Types Topic A: Process Characters Topic B: Process Numbers Topic C: Process Logicals Lesson 3: Processing Data Structures Topic A: Process Vectors Topic B: Process Factors Topic C: Process Data Frames Topic D: Subset Data Structures Lesson 4: Writing Conditional Statements and Loops Topic A: Write Conditional Statements Topic B: Write Loops Lesson 5: Structuring Code for Reuse Topic A: Define and Call Functions Topic B: Apply Loop Functions Topic C: Manage R Packages Lesson 6: Managing Data in R Topic A: Load Data Topic B: Save Data Topic C: Manipulate Data Frames Using Base R Topic D: Manipulate Data Frames Using dplyr Topic E: Handle Dates and Times Lesson 7: Analyzing Data in R Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Identify Missing Values Lesson 8: Visualizing Data in R Topic A: Plot Data Using Base R Functions Topic B: Plot Data Using ggplot2 Topic C: Format Plots in ggplot2 Topic D: Create Combination Plots Lesson 9: Modeling Data in R Topic A: Create Statistical Models in R Topic B: Create Machine Learning Models in R